Abstract:

In open and dynamic Internet environment, multi-periods QoS, multiple decision-makers based on heterogeneous QoS models and uncertainty weights make optimal Web service selection hard. To solve the above difficulties, dynamic Web service selection group decision making based on heterogeneous QoS models (DWSSGD_HQM) is presented for the first time. DWSSGD_HQM draws on and extends TOPSIS, which supports multiple decision-makers based on heterogeneous QoS models expressed in real numbers, interval numbers, triangular fuzzy numbers and intuitionistic fuzzy numbers respectively, and takes multi-periods QoS of above four types and weights of user and group expressed in above four data types in account. DWSSGD_HQM includes six main steps: convert heterogeneous QoS information into interval numbers, calculate weighted normalized decision-matrix, determine the group positive-ideal and group negative-ideal solutions, calculate the close-degrees of candidates, aggregate close-degrees of multi-periods for each decision-maker, and rank the alternatives. Finally, some experiments are given using actual QoS data to demonstrate the benefits and effectiveness of our approach.

Key words:

Web service, service selection, heterogeneous QoS, multi-periods QoS, group decision making